Triple

T21755147
Position Surface form Disambiguated ID Type / Status
Subject Toki Messe E537017 entity
Predicate JapaneseName P744 FINISHED
Object 朱鷺メッセ
朱鷺メッセ is a large convention and exhibition center located in Niigata City, Japan, known for hosting conferences, trade shows, and cultural events along the Shinano River waterfront.
 E1500972 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 朱鷺メッセ | Statement: [Toki Messe, JapaneseName, 朱鷺メッセ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 朱鷺メッセ
Context triple: [Toki Messe, JapaneseName, 朱鷺メッセ]
  • A. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • B. Namba Marui
    Namba Marui is a major Marui department store and shopping complex located in Osaka’s bustling Namba district, known for its fashion, dining, and entertainment options.
  • C. Wagagai
    Wagagai is the summit of Mount Elgon, a prominent volcanic peak on the border of Uganda and Kenya.
  • D. Tsubame
    Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
  • E. Tsubame
    Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 朱鷺メッセ
Triple: [Toki Messe, JapaneseName, 朱鷺メッセ]
Generated description
朱鷺メッセ is a large convention and exhibition center located in Niigata City, Japan, known for hosting conferences, trade shows, and cultural events along the Shinano River waterfront.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 朱鷺メッセ
Target entity description: 朱鷺メッセ is a large convention and exhibition center located in Niigata City, Japan, known for hosting conferences, trade shows, and cultural events along the Shinano River waterfront.
  • A. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • B. Namba Marui
    Namba Marui is a major Marui department store and shopping complex located in Osaka’s bustling Namba district, known for its fashion, dining, and entertainment options.
  • C. Wagagai
    Wagagai is the summit of Mount Elgon, a prominent volcanic peak on the border of Uganda and Kenya.
  • D. Tsubame
    Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
  • E. Tsubame
    Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8d6d0081908e0ccfbccea58895 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a36706c608190a23129737eefdca9 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a381a4dc48190ae16844baeb3e67e completed May 17, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0a389829448190842a9f3863ffc046 completed May 17, 2026, 9:52 p.m.
Created at: April 16, 2026, 6:50 p.m.